{"id":"W2137285362","doi":"10.1002/aic.14655","title":"Parallel models for arborescent polyisobutylene synthesized in batch reactor","year":2014,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Isobutylene; Carbocation; Polymer; Monte Carlo method; Copolymer; Thermodynamics; Reaction rate constant; Statistical physics; Materials science; Polymer chemistry; Computational chemistry; Chemistry; Kinetics; Physics; Mathematics; Organic chemistry; Classical mechanics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004400169,0.0001325668,0.000236353,0.00007736649,0.00003373669,0.00005535338,0.0001380254,0.0001345459,0.00006748454],"category_scores_gemma":[0.0000391387,0.000105229,0.00007774375,0.00004911434,0.00001088851,0.0001200253,0.0000122007,0.0002254156,0.00001714867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005755781,"about_ca_system_score_gemma":0.0000142729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009126705,"about_ca_topic_score_gemma":0.000004165374,"domain_scores_codex":[0.9991351,0.0000361196,0.0003264376,0.00009220375,0.0001077538,0.0003023467],"domain_scores_gemma":[0.9996073,0.00009088733,0.00005075405,0.0001202673,0.00002732606,0.0001034154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004919769,0.0001885201,0.0001252663,0.0008006822,0.000256829,0.00003780908,0.0007966793,0.7070617,0.2656784,0.001112465,0.01709228,0.00635738],"study_design_scores_gemma":[0.004767857,0.0001972104,0.0004871402,0.000423517,0.00008465014,0.0001220856,0.00006581943,0.8849903,0.03947756,0.02170769,0.046966,0.0007102055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8424044,0.01331936,0.1010002,0.002241329,0.007179012,0.001190374,0.00004094868,0.000545292,0.03207907],"genre_scores_gemma":[0.9901406,0.002917511,0.006302114,0.00006570173,0.0004032794,0.00001348353,0.000002478113,0.00004776684,0.0001070762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2262008,"threshold_uncertainty_score":0.4291116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106872628935901,"score_gpt":0.2023918975141583,"score_spread":0.1913231712247992,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}